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But well also need cloud infrastructure, software, and all kinds of interfaces between classical and quantum systems.
What is it?
As the company put it in a recentblog post:
Qiskit Runtime lets users deploy programs instead of circuits.
And the new primitives take that a step further by making Qiskit even more accessible to algorithm developers.
One of the things that make them particularly unique is that they produce non-classical probability distributions as their outputs.
Consequently, pretty much all of algorithm development requires working with these non-classical probability distributions.
As for what, exactly, they do… thats a bit more complex.
And it depends on what youre trying to accomplish.
The whole point of quantum computing is to make things faster.
But qubits the quantum equivalent of a computer bit arent smart.
They dont know what problem youre trying to solve.
And there are no apps for quantum computers.
However, there are numerous problems that can be reduced to simple starting points called primitives.
Meanwhile, the Sampler would get used in search-like tasks such as Grovers algorithm.
Why does it matter?
Quantum computers are stillmostlyexperimental.
Thats why these baby steps are so important.
Whats next?
IBM is the clear front-runner in the quantum computing race.
But Big Blue is far from content to rest on its laurels.
A quick gander at the companysquantum roadmaptells you everything you gotta know about where its ambitions lie.
Perhaps the most notable entry above is the upcoming launch of the Osprey chip.
At 433 qubits, itll become the worlds largest quantum chip when it launches.
And the company plans to more than double that next year.
But theres no debate that IBM is winning the quantum computing race in 2022.
